RadplotKalmanfiler

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

maximum likelihood fitting for MATLAB .m file

设计一个matlab雷达信号仿真界面程序。（提示：例如可以根据选择产生一个不同类型噪声（均匀分布、高斯分布等类型），并在界面中显示该噪声时域图形，并能根据要求画出该噪声的自相关、FFT等信号处理后的结果。）(Design a matlab radar simulation interface program. (Hint: for example, can choose to generate a different type of noise (uniform distribution, Gaussian distribution type), and the noise in the interface displays the time domain graph, and can draw upon request of the noise autocorrelation, FFT and other signal processing the results.))

dark channel defog 包含在一个文本文件中的两个matlab程序能够实现很好的图像清晰化功能(decrease haze)

ADRC算法，根据韩京清的自抗扰技术慢慢看，含有王久和的交流电动机的非线性控制一起看(The ADRC algorithm, based on ADRC technology slowly to see Han Jingqing, nonlinear control with AC motor king long and together with the ADRC algorithm, based on ADRC technology slowly to see Han Jingqing, nonlinear control with AC motor and the king long together)

说明：  在聚类分析中,模糊c-均值算法是应用最广泛的聚类算法之一,针对该算法对初始化敏感,容易陷入局部极小点的缺点,论文提出了一种基于核的模糊聚类算法.在算法中将核方法与模糊可能性算法相结合,将模糊c-均值算法结果作为初始中心,放松了对隶属度归一化的条件,对噪声有更好的处理能力.IRIS数据和人造数据的实验结果表明该算法的有效性(Chun-Fu Lin,Sheng-De Wang.Fuzzy support vector machines.[J].IEEE transactions on neural networks / a publication of the IEEE Neural Networks Council,2002,13(2).464-71.)

说明：  将Minpack库中的LM算法封装成库，经过调试，通过算例运行结果与Matlab中运行出来的结果相差0.01范围内。(Will Minpack library package into the LM algorithm library，After debugging An example is the results is only 0.01 Difference from the result of Matlab s! )

说明：  这个是矢量控制，对三相异步电动机，仿真结果是正确的(This is vector control. For three-phase asynchronous motor, the simulation result is correct)

一维水质模型，本程序研究一维河流的污染物扩散，短时间持续排放BOD的浓度变化规律 本程序采用中心隐式差分求解 问题t=0到t=1h偶然排放BOD 使河水断面L0=10mg/L河流平均速度5km/h 纵向弥散系数D=2km2/h BOD衰减系数k1=0.015h-1 解BOD浓度 L(x，t)(One-dimensional water quality model, the procedure of one-dimensional dispersion of pollutants in the river, a short continuous changes of the concentration of BOD emissions of the program implicit difference method with central issues t = 0 t = 1h accidental emissions to the BOD to the river section L0 = 10mg/L average speed of the river 5km/h vertical diffusion coefficient D = 2km2/h BOD decay coefficient k1 = 0.015h-1 Solution for BOD concentration L (x, t))

Basci Matlab book for student 4th